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  5. Cumul.io vs Metabase

Cumul.io vs Metabase

OverviewComparisonAlternatives

Overview

Metabase
Metabase
Stacks926
Followers1.2K
Votes271
GitHub Stars44.4K
Forks6.0K
Cumul.io
Cumul.io
Stacks7
Followers15
Votes0

Cumul.io vs Metabase: What are the differences?

Key differences between Cumul.io and Metabase

Cumul.io is a business intelligence platform that offers embedded analytics capabilities, while Metabase is an open-source business intelligence tool.

  1. Deployment: Cumul.io provides a cloud-based platform for easy deployment and integration with other software applications, allowing users to embed analytics into their own products. On the other hand, Metabase is self-hosted and requires installation on a server or local machine.

  2. Customization: Cumul.io offers extensive customization options, allowing users to white-label the platform, create custom themes and styles, and customize individual analytics components. Metabase, although customizable to a certain extent, may require more manual configuration and customization through code.

  3. Data Sources: Cumul.io supports a wide range of data sources, including SQL databases, cloud storage providers, REST APIs, and more. Metabase also supports various data sources but may require additional plugins or connectors for certain databases and services.

  4. Dashboarding and Visualization: Cumul.io provides a drag-and-drop interface for building interactive dashboards and visualizations without the need for coding. Metabase also offers a user-friendly interface for creating dashboards and visualizations, but may require more technical expertise for advanced customizations.

  5. Collaboration and Sharing: Cumul.io allows users to collaborate with team members by granting access permissions, sharing dashboards, and embedding analytics in external applications or websites. Metabase offers collaboration features such as sharing dashboards and queries with team members, but may have limited options for embedding analytics externally.

  6. Pricing and Licensing: Cumul.io offers flexible pricing plans based on the number of users and features required, with a free trial available. Metabase, being open-source, is free to use for both personal and commercial purposes, but may require additional technical resources for setup and maintenance.

In Summary, Cumul.io differentiates itself from Metabase by providing cloud-based deployment, extensive customization options, wider range of data source compatibility, user-friendly dashboarding interface, enhanced collaboration and sharing capabilities, and flexible pricing options.

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Detailed Comparison

Metabase
Metabase
Cumul.io
Cumul.io

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Create powerful dashboards in minutes. Share with your teams, or integrate in your platform. Drive growth in your business today!

Statistics
GitHub Stars
44.4K
GitHub Stars
-
GitHub Forks
6.0K
GitHub Forks
-
Stacks
926
Stacks
7
Followers
1.2K
Followers
15
Votes
271
Votes
0
Pros & Cons
Pros
  • 62
    Database visualisation
  • 45
    Open Source
  • 41
    Easy setup
  • 36
    Dashboard out of the box
  • 23
    Free
Cons
  • 7
    Harder to setup than similar tools
No community feedback yet
Integrations
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Amazon Redshift
Amazon Redshift
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
Google Drive
Google Drive
MongoDB
MongoDB
PostgreSQL
PostgreSQL
MariaDB
MariaDB
Clickhouse
Clickhouse
Amazon Redshift
Amazon Redshift
PipelineDB
PipelineDB
Amazon Athena
Amazon Athena
Microsoft Excel
Microsoft Excel
Microsoft SQL Server
Microsoft SQL Server

What are some alternatives to Metabase, Cumul.io?

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Periscope

Periscope

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

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